Coin Problem

Welcome to the Coin Problem Database page. This resource offers an SQLite3 database (frob.db) and a Python script ( ) for those interested in the Frobenius coin problem. The database interfaces seamlessly with Python, providing an efficient means for data queries. For a more streamlined experience, particularly beneficial for users unfamiliar with setting up databases, the database is also accessible via a Docker container hosted on the Google Cloud Console. This method allows direct interaction with the database through a command-line interface in the Cloud Console, bypassing the need for local downloads and minimizing site traffic usage.

To access the database in the Docker container, use the following command in the Google Cloud Console’s Cloud Shell:

docker run -it --rm dglass710/frobenius-quad-database

The Cloud Shell Button is located on the top right of the screen

The command docker run -it –rm dglass710/frobenius-quad-database is used to access the Frobenius coin problem database within a Docker container. Here’s a breakdown of what each part of the command does:

docker run: This is the primary command used to run a Docker container. It tells Docker to create and start a container based on the specified image.

-it: This flag combines two options, -i and -t. -i keeps the container’s standard input open (interactive mode), and -t allocates a pseudo-TTY (terminal), making it possible for you to interact with the container via the command line.

–rm: This option automatically removes the container when it exits or stops. This is useful for cleanup, ensuring that you don’t accumulate stopped containers on your system.

dglass710/frobenius-quad-database: This is the name of the Docker image. It identifies the specific container image that you want to run. In this case, it’s the image I have created for my Frobenius coin problem database.

In summary, this command launches an interactive Docker container based on the dglass710/frobenius-quad-database image, and it automatically cleans up the container after you’re done using it. This makes it easy to interact with the database directly through the Google Cloud Console without having to install or configure any additional software on your local machine.